Abstract
Data management is currently one of the predominant issues in both large scale as well as consumer computing systems. While most data is still stored in regular files and managed by various filesystems, current trends show that users no longer treat their data as files but rather objects, which is particularly evident on mobile devices and Cloud based applications, powered by distributed, highly scalable databases.
In this paper we present our attempt to consider the possibility of abandoning the concept of files and filesystems in favor of more elastic and elementary data management and storage approach, by proposing a new aproach to distributed data modelling which does not require filesystems. In our opinion, filesystems are a legacy paradigm not adhering to modern data management use cases.
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Acknowledgment
This research has been funded by Polish National Science Centre grant File-less architecture of large scale distributed information systems number: DEC-2012/05/N/ST6/03463.
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Kryza, B., Kitowski, J. (2016). Hypergraph Based Abstraction for File-Less Data Management. In: Wyrzykowski, R., Deelman, E., Dongarra, J., Karczewski, K., Kitowski, J., Wiatr, K. (eds) Parallel Processing and Applied Mathematics. PPAM 2015. Lecture Notes in Computer Science(), vol 9573. Springer, Cham. https://doi.org/10.1007/978-3-319-32149-3_31
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